{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "patch vulnerability", "trigger": true, "arguments": ["vulnerability", "supported platform", "issues addressed", "time", "patch number", "common vulnerabilities and exposures", "vulnerable system", "patch"]}, {"event_type": "phishing", "trigger": true, "arguments": ["tool", "damage amount", "trusted entity", "place", "attacker", "purpose", "victim", "attack pattern", "time"]}, {"event_type": "ransom", "trigger": true, "arguments": ["price", "place", "payment method", "victim", "attack pattern", "attacker", "time", "damage amount"]}, {"event_type": "data breach", "trigger": true, "arguments": ["compromised data", "tool", "number of victim", "damage amount", "place", "victim", "number of data", "attack pattern", "time"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["capabilities", "vulnerable system owner", "discoverer", "supported platform", "vulnerable system", "vulnerable system version", "vulnerability", "time", "common vulnerabilities and exposures"]}], "input": "This was the catch , as attackers doctored the unsubscribe link , leading victims to a fake Google login screen ."}
{"patch vulnerability": [], "phishing": [{"trigger": "leading", "arguments": {"tool": "a fake Google login screen", "damage amount": "NAN", "trusted entity": "NAN", "place": "NAN", "attacker": "attackers", "purpose": "NAN", "victim": "victims", "attack pattern": "NAN", "time": "NAN"}}], "ransom": [], "data breach": [], "discover vulnerability": []}